Here, we’re just setting a few options.

knitr::opts_chunk$set(
  warning = FALSE, # show warnings during codebook generation
  message = FALSE, # show messages during codebook generation
  error = TRUE, # do not interrupt codebook generation in case of errors,
                # usually better for debugging
  echo = TRUE  # show R code
)
ggplot2::theme_set(ggplot2::theme_bw())

Now, we’re preparing our data for the codebook.

library(codebook)
library(formr)
# library(dplyr)
# library(labelled)
# library(ufs)
# library(GGally)

# formr_store_keys("juergen") # save my login credentials (do just once)
formr_connect(keyring = "juergen") # retreive credentials and login to formr

codebook_data <- formr_results("rbt_ext_pub") # pulls survey results
                                                    # also aggregates items with 
                                                    # the same name and continuous
                                                    # numbers at the end




# to import an SPSS file from the same folder uncomment and edit the line below
# codebook_data <- rio::import("mydata.sav")
# for Stata
# codebook_data <- rio::import("mydata.dta")
# for CSV
# codebook_data <- rio::import("mydata.csv")

# omit the following lines, if your missing values are already properly labelled
codebook_data <- detect_missing(codebook_data,
    only_labelled = TRUE, # only labelled values are autodetected as
                                   # missing
    negative_values_are_missing = FALSE, # negative values are missing values
    ninety_nine_problems = TRUE,   # 99/999 are missing values, if they
                                   # are more than 5 MAD from the median
    )

# If you are not using formr, the codebook package needs to guess which items
# form a scale. The following line finds item aggregates with names like this:
# scale = scale_1 + scale_2R + scale_3R
# identifying these aggregates allows the codebook function to
# automatically compute reliabilities.
# However, it will not reverse items automatically.

codebook_data <- detect_scales(codebook_data)
## Error in rowMeans(data[, items], na.rm = FALSE): 'x' muss numerisch sein

Create codebook

codebook(codebook_data)

Metadata

Description

Dataset name: codebook_data

The dataset has N=452 rows and 79 columns. 0 rows have no missing values on any column.

Metadata for search engines
  • Date published: 2023-02-12
x
session
created
modified
ended
expired
treat
treat1
treat2
first_topic
abs1_tsm_1
abs1_tsm_2
abs1_tsm_3
abs1_tsm_4
abs1_tsc_1
abs1_tsc_2
abs1_tsc_3
abs1_tru_exp_1
abs1_tru_exp_2
abs1_tru_exp_3
abs1_tru_exp_4
abs1_tru_exp_5
abs1_tru_exp_6
abs1_tru_int_1
abs1_tru_int_2
abs1_tru_int_3
abs1_tru_int_4
abs1_tru_ben_1
abs1_tru_ben_2
abs1_tru_ben_3
abs1_tru_ben_4
abs1_tch_1
abs1_tch_2
abs1_tch_3
abs1_tch_4
abs1_tch_5
abs2_tsm_1
abs2_tsm_2
abs2_tsm_3
abs2_tsm_4
abs2_tsc_1
abs2_tsc_2
abs2_tsc_3
abs2_tru_exp_1
abs2_tru_exp_2
abs2_tru_exp_3
abs2_tru_exp_4
abs2_tru_exp_5
abs2_tru_exp_6
abs2_tru_int_1
abs2_tru_int_2
abs2_tru_int_3
abs2_tru_int_4
abs2_tru_ben_1
abs2_tru_ben_2
abs2_tru_ben_3
abs2_tru_ben_4
abs2_tch_1
abs2_tch_2
abs2_tch_3
abs2_tch_4
abs2_tch_5
tsm_1
tsm_2
tsm_3
country
country_oth
abs1_tsm
abs1_tsc
abs1_tru_exp
abs1_tru_int
abs1_tru_ben
abs1_tch
abs2_tsm
abs2_tsc
abs2_tru_exp
abs2_tru_int
abs2_tru_ben
abs2_tch
tsm

Survey overview

257 completed rows, 443 who entered any information, 9 only viewed the first page. There are 0 expired rows (people who did not finish filling out in the requested time frame). In total, there are 452 rows including unfinished and expired rows.

There were 452 unique participants, of which 257 finished filling out at least one survey.

This survey was not repeated.

The first session started on 2020-12-17 14:21:06, the last session on 2021-01-19 14:56:45.

Starting date times

Starting date times

People took on average 197.36 minutes (median 7.8) to answer the survey.

Duration people took for answering the survey

Duration people took for answering the survey

Variables

treat

Distribution

Distribution of values for treat

Distribution of values for treat

0 missing values.

Summary statistics

name label type data_type optional showif value item_order block_order class n_missing complete_rate n_unique empty min max whitespace
treat calculate character 0 sample(c(“cb”, “gb”, “cc”), 2, replace = F) 1 0 1 3 0 2 2 0

Item

Item options
type name label optional class showif value block_order item_order
calculate treat 0 sample(c(“cb”, “gb”, “cc”), 2, replace = F) 1

Value labels

Response choices
name value

treat1

Distribution

Distribution of values for treat1

Distribution of values for treat1

0 missing values.

Summary statistics

name label type data_type optional showif value item_order block_order class n_missing complete_rate n_unique empty min max whitespace
treat1 calculate character 0 treat[1] 2 0 1 3 0 2 2 0

Item

Item options
type name label optional class showif value block_order item_order
calculate treat1 0 treat[1] 2

Value labels

Response choices
name value

treat2

Distribution

Distribution of values for treat2

Distribution of values for treat2

0 missing values.

Summary statistics

name label type data_type optional showif value item_order block_order class n_missing complete_rate n_unique empty min max whitespace
treat2 calculate character 0 treat[2] 3 0 1 3 0 2 2 0

Item

Item options
type name label optional class showif value block_order item_order
calculate treat2 0 treat[2] 3

Value labels

Response choices
name value

first_topic

Distribution

Distribution of values for first_topic

Distribution of values for first_topic

0 missing values.

Summary statistics

name label type data_type optional showif value item_order block_order class n_missing complete_rate n_unique empty min max whitespace
first_topic calculate character 0 sample(c(“moral”, “robot”), 1, replace = F) 4 0 1 2 0 5 5 0

Item

Item options
type name label optional class showif value block_order item_order
calculate first_topic 0 sample(c(“moral”, “robot”), 1, replace = F) 4

Value labels

Response choices
name value

country

Country of residence

Distribution

Distribution of values for country

Distribution of values for country

195 missing values.

Summary statistics

name label type type_options data_type optional showif value item_order block_order class n_missing complete_rate min median max mean sd n_value_labels hist
country Country of residence select_one haven_labelled 0 68 195 0.5685841 -999 1 4 -2.673152 62.39518 6 ▁▁▁▁▁▁▁▇

Item

Item options
type type_options name label optional class showif value block_order item_order
select_one country Country of residence 0 68

Value labels

Response choices
name value
England 1
Wales 2
Scotland 3
Northern Ireland 4
other -999
Item was never rendered for this user. NA

country_oth

please specify other country

Distribution

Distribution of values for country_oth

Distribution of values for country_oth

451 missing values.

Summary statistics

name label type type_options data_type optional showif value item_order block_order class n_missing complete_rate n_unique empty min max whitespace
country_oth please specify other country text 100 character 1 country == -999 69 451 0.0022124 1 0 2 2 0

Item

Item options
type type_options name label optional class showif value block_order item_order
text 100 country_oth please specify other country 1 country == -999 69

Value labels

Response choices
name value

Scale: abs1_tsm

Overview

Reliability: ωordinal [95% CI] = 0.75 [0.7;0.8].

Missing: 181.

Likert plot of scale abs1_tsm items

Likert plot of scale abs1_tsm items

Distribution of scale abs1_tsm

Distribution of scale abs1_tsm

Reliability details

Scale diagnosis
Reliability (internal consistency) estimates
Scale structure
Information about this scale
Dataframe: res$dat
Items: abs1_tsm_1, abs1_tsm_2, abs1_tsm_3 & abs1_tsm_4
Observations: 271
Positive correlations: 6
Number of correlations: 6
Percentage positive correlations: 100
Estimates assuming interval level
Omega (total): 0.70
Omega (hierarchical): 0.65
Revelle’s Omega (total): 0.72
Greatest Lower Bound (GLB): 0.73
Coefficient H: 0.74
Coefficient Alpha: 0.69

Confidence intervals

Omega (total): [0.65; 0.76]
Coefficient Alpha: [0.63; 0.75]
Estimates assuming ordinal level
Ordinal Omega (total): 0.75
Ordinal Omega (hierarch.): 0.74
Ordinal Coefficient Alpha: 0.74

Confidence intervals

Ordinal Omega (total): [0.7; 0.8]
Ordinal Coefficient Alpha: [0.69; 0.79]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

2.088, 0.729, 0.706 & 0.478

Factor analysis (reproducing only shared variance)
ML1
abs1_tsm_1 0.501
abs1_tsm_2 0.654
abs1_tsm_3 0.483
abs1_tsm_4 0.768
Component analysis (reproducing full covariance matrix)
PC1
abs1_tsm_1 0.663
abs1_tsm_2 0.756
abs1_tsm_3 0.655
abs1_tsm_4 0.805
Item descriptives
mean median var sd IQR se min q1 q3 max skew kurt dip n NA valid
abs1_tsm_1 2.5572 3 0.6476 0.8048 1 0.0489 1 2 4 4 -0.1015 -0.4447 0.1827 271 0 271
abs1_tsm_2 2.7417 3 0.7256 0.8518 1 0.0517 1 2 4 4 -0.0574 -0.757 0.1734 271 0 271
abs1_tsm_3 2.6125 3 0.6901 0.8307 1 0.0505 1 2 4 4 -0.0304 -0.5696 0.1845 271 0 271
abs1_tsm_4 2.8229 3 0.7389 0.8596 1 0.0522 1 2 4 4 -0.3201 -0.5394 0.131 271 0 271
Scattermatrix
Scatterplot

Scatterplot

Summary statistics

name label type type_options data_type value_labels optional showif value item_order block_order class n_missing complete_rate min median max mean sd n_value_labels hist
abs1_tsm_1 The insights from the text are arbitrary. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
NA. Item was never rendered for this user.		 0 23 left500 hide_label mc_width70 181 0.5995575 1 3 4 2.557196 0.8047624 5 ▂▁▇▁▁▇▁▂
abs1_tsm_2 The knowledge contained in the text cannot be generalized to other situations at all. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
NA. Item was never rendered for this user.		 0 23 left500 hide_label mc_width70 181 0.5995575 1 3 4 2.741697 0.8518364 5 ▁▁▇▁▁▇▁▅
abs1_tsm_3 The opposite of the knowledge formulated in the text would be equally right/wrong. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
NA. Item was never rendered for this user.		 0 23 left500 hide_label mc_width70 181 0.5995575 1 3 4 2.612546 0.8307010 5 ▂▁▇▁▁▇▁▃
abs1_tsm_4 The knowledge formulated in the text cannot claim validity for other situations. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
NA. Item was never rendered for this user.		 0 23 left500 hide_label mc_width70 181 0.5995575 1 3 4 2.822878 0.8595825 5 ▁▁▅▁▁▇▁▅

Scale: abs1_tsc

Overview

Reliability: ωordinal [95% CI] = 0.53 [0.44;0.62].

Missing: 181.

Likert plot of scale abs1_tsc items

Likert plot of scale abs1_tsc items

Distribution of scale abs1_tsc

Distribution of scale abs1_tsc

Reliability details

Scale diagnosis
Reliability (internal consistency) estimates
Scale structure
Information about this scale
Dataframe: res$dat
Items: abs1_tsc_1, abs1_tsc_2 & abs1_tsc_3
Observations: 271
Positive correlations: 1
Number of correlations: 3
Percentage positive correlations: 33
Estimates assuming interval level
Omega (total): 0.46
Omega (hierarchical): 0.06
Revelle’s Omega (total): 0.66
Greatest Lower Bound (GLB): 0.48
Coefficient H: 0.78
Coefficient Alpha: 0.13

Confidence intervals

Omega (total): [0.36; 0.56]
Coefficient Alpha: [0; 0.31]
Estimates assuming ordinal level
Ordinal Omega (total): 0.53
Ordinal Omega (hierarch.): 0.53
Ordinal Coefficient Alpha: 0.13

Confidence intervals

Ordinal Omega (total): [0.44; 0.62]
Ordinal Coefficient Alpha: [0; 0.31]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

1.712, 0.875 & 0.413

Factor analysis (reproducing only shared variance)
ML1
abs1_tsc_1 0.691
abs1_tsc_2 -0.276
abs1_tsc_3 0.848
Component analysis (reproducing full covariance matrix)
PC1
abs1_tsc_1 0.844
abs1_tsc_2 -0.508
abs1_tsc_3 0.861
Item descriptives
mean median var sd IQR se min q1 q3 max skew kurt dip n NA valid
abs1_tsc_1 2.6384 3 0.6836 0.8268 1 0.0502 1 2 4 4 -0.1912 -0.4672 0.1605 271 0 271
abs1_tsc_2 2.3173 2 0.7137 0.8448 1 0.0513 1 1 3 4 0.123 -0.5984 0.1661 271 0 271
abs1_tsc_3 2.6458 3 0.637 0.7981 1 0.0485 1 2 4 4 -0.1994 -0.367 0.1624 271 0 271
Scattermatrix
Scatterplot

Scatterplot

Summary statistics

name label type type_options data_type value_labels optional showif value item_order block_order class n_missing complete_rate min median max mean sd n_value_labels hist
abs1_tsc_1 The statements of the just-read text are consistent with my personal opinion on the subject. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
NA. Item was never rendered for this user.		 0 24 left500 hide_label mc_width70 181 0.5995575 1 3 4 2.638376 0.8267762 5 ▂▁▆▁▁▇▁▂
abs1_tsc_2 The statements of the text excerpt I just read contradict what I myself think about the topic. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
NA. Item was never rendered for this user.		 0 24 left500 hide_label mc_width70 181 0.5995575 1 2 4 2.317343 0.8448285 5 ▃▁▇▁▁▆▁▂
abs1_tsc_3 I agree with the statements I just read in the text excerpt. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
NA. Item was never rendered for this user.		 0 24 left500 hide_label mc_width70 181 0.5995575 1 3 4 2.645757 0.7981289 5 ▁▁▆▁▁▇▁▂

Scale: abs1_tru_exp

Overview

Reliability: ωordinal [95% CI] = 0.96 [0.95;0.97].

Missing: 181.

Likert plot of scale abs1_tru_exp items

Likert plot of scale abs1_tru_exp items

Distribution of scale abs1_tru_exp

Distribution of scale abs1_tru_exp

Reliability details

Scale diagnosis
Reliability (internal consistency) estimates
Scale structure
Information about this scale
Dataframe: res$dat
Items: abs1_tru_exp_1, abs1_tru_exp_2, abs1_tru_exp_3, abs1_tru_exp_4, abs1_tru_exp_5 & abs1_tru_exp_6
Observations: 271
Positive correlations: 15
Number of correlations: 15
Percentage positive correlations: 100
Estimates assuming interval level
Omega (total): 0.95
Omega (hierarchical): 0.92
Revelle’s Omega (total): 0.96
Greatest Lower Bound (GLB): 0.96
Coefficient H: 0.95
Coefficient Alpha: 0.95

Confidence intervals

Omega (total): [0.94; 0.96]
Coefficient Alpha: [0.94; 0.96]
Estimates assuming ordinal level
Ordinal Omega (total): 0.96
Ordinal Omega (hierarch.): 0.96
Ordinal Coefficient Alpha: 0.96

Confidence intervals

Ordinal Omega (total): [0.95; 0.97]
Ordinal Coefficient Alpha: [0.95; 0.97]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

4.756, 0.305, 0.277, 0.256, 0.214 & 0.191

Factor analysis (reproducing only shared variance)
ML1
abs1_tru_exp_1 0.837
abs1_tru_exp_2 0.879
abs1_tru_exp_3 0.881
abs1_tru_exp_4 0.873
abs1_tru_exp_5 0.861
abs1_tru_exp_6 0.869
Component analysis (reproducing full covariance matrix)
PC1
abs1_tru_exp_1 0.869
abs1_tru_exp_2 0.898
abs1_tru_exp_3 0.899
abs1_tru_exp_4 0.896
abs1_tru_exp_5 0.886
abs1_tru_exp_6 0.892
Item descriptives
mean median var sd IQR se min q1 q3 max skew kurt dip n NA valid
abs1_tru_exp_1 2.9299 3 2.2432 1.4977 2 0.091 1 2 4 7 0.6136 -0.0895 0.1162 271 0 271
abs1_tru_exp_2 2.8303 3 2.0155 1.4197 2 0.0862 1 2 4 7 0.4518 -0.3853 0.1218 271 0 271
abs1_tru_exp_3 2.9225 3 2.1088 1.4522 2 0.0882 1 2 4 7 0.5087 -0.1758 0.1218 271 0 271
abs1_tru_exp_4 2.9557 3 2.324 1.5245 2 0.0926 1 2 4 7 0.4922 -0.4537 0.1033 271 0 271
abs1_tru_exp_5 3.1255 3 2.0731 1.4398 2 0.0875 1 2 4 7 0.356 -0.3301 0.1144 271 0 271
abs1_tru_exp_6 3.0627 3 2.0516 1.4323 2 0.087 1 2 4 7 0.3767 -0.3026 0.1199 271 0 271
Scattermatrix
Scatterplot

Scatterplot

Summary statistics

name label type type_options data_type value_labels optional showif value item_order block_order class n_missing complete_rate min median max mean sd n_value_labels hist
abs1_tru_exp_1 rating_button 1,7,1 haven_labelled 1. 1: competent,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: incompetent,
NA. Item was never rendered for this user.		 0 26 answer_align_center left0 space_bottom_10 rating_button_label_width150 181 0.5995575 1 3 7 2.929889 1.497736 8 ▆▇▇▆▁▂▂▁
abs1_tru_exp_2 rating_button 1,7,1 haven_labelled 1. 1: intelligent,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: unintelligent,
NA. Item was never rendered for this user.		 0 26 answer_align_center left0 space_bottom_10 rating_button_label_width150 181 0.5995575 1 3 7 2.830258 1.419692 8 ▇▇▆▇▁▂▁▁
abs1_tru_exp_3 rating_button 1,7,1 haven_labelled 1. 1: well&nbsp;educated,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: poorly&nbsp;educated,
NA. Item was never rendered for this user.		 0 26 answer_align_center left0 space_bottom_10 rating_button_label_width150 181 0.5995575 1 3 7 2.922509 1.452167 8 ▆▇▆▇▁▂▁▁
abs1_tru_exp_4 rating_button 1,7,1 haven_labelled 1. 1: professional,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: unprofessional,
NA. Item was never rendered for this user.		 0 26 answer_align_center left0 space_bottom_10 rating_button_label_width150 181 0.5995575 1 3 7 2.955720 1.524453 8 ▇▇▆▇▁▃▂▁
abs1_tru_exp_5 rating_button 1,7,1 haven_labelled 1. 1: experienced,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: inexperienced,
NA. Item was never rendered for this user.		 0 26 answer_align_center left0 space_bottom_10 rating_button_label_width150 181 0.5995575 1 3 7 3.125461 1.439823 8 ▅▆▇▇▁▂▂▁
abs1_tru_exp_6 rating_button 1,7,1 haven_labelled 1. 1: qualified,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: unqualified,
NA. Item was never rendered for this user.		 0 26 answer_align_center left0 space_bottom_10 rating_button_label_width150 181 0.5995575 1 3 7 3.062731 1.432343 8 ▅▇▆▇▁▂▁▁

Scale: abs1_tru_int

Overview

Reliability: ωordinal [95% CI] = 0.9 [0.88;0.92].

Missing: 181.

Likert plot of scale abs1_tru_int items

Likert plot of scale abs1_tru_int items

Distribution of scale abs1_tru_int

Distribution of scale abs1_tru_int

Reliability details

Scale diagnosis
Reliability (internal consistency) estimates
Scale structure
Information about this scale
Dataframe: res$dat
Items: abs1_tru_int_1, abs1_tru_int_2, abs1_tru_int_3 & abs1_tru_int_4
Observations: 271
Positive correlations: 6
Number of correlations: 6
Percentage positive correlations: 100
Estimates assuming interval level
Omega (total): 0.88
Omega (hierarchical): 0.87
Revelle’s Omega (total): 0.89
Greatest Lower Bound (GLB): 0.89
Coefficient H: 0.88
Coefficient Alpha: 0.88

Confidence intervals

Omega (total): [0.85; 0.9]
Coefficient Alpha: [0.85; 0.9]
Estimates assuming ordinal level
Ordinal Omega (total): 0.90
Ordinal Omega (hierarch.): 0.89
Ordinal Coefficient Alpha: 0.90

Confidence intervals

Ordinal Omega (total): [0.88; 0.92]
Ordinal Coefficient Alpha: [0.87; 0.92]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

2.923, 0.404, 0.368 & 0.304

Factor analysis (reproducing only shared variance)
ML1
abs1_tru_int_1 0.787
abs1_tru_int_2 0.820
abs1_tru_int_3 0.835
abs1_tru_int_4 0.760
Component analysis (reproducing full covariance matrix)
PC1
abs1_tru_int_1 0.849
abs1_tru_int_2 0.864
abs1_tru_int_3 0.872
abs1_tru_int_4 0.833
Item descriptives
mean median var sd IQR se min q1 q3 max skew kurt dip n NA valid
abs1_tru_int_1 3.1365 3 2.0813 1.4427 2 0.0876 1 2 4 7 0.3108 -0.3415 0.1052 271 0 271
abs1_tru_int_2 3.1365 3 1.9331 1.3904 2 0.0845 1 2 4 7 0.3533 -0.292 0.1162 271 0 271
abs1_tru_int_3 3.369 4 1.767 1.3293 2 0.0807 1 2 5 7 0.2323 0.1383 0.1107 271 0 271
abs1_tru_int_4 3.2325 3 1.9643 1.4015 2 0.0851 1 2 4 7 0.3357 -0.0795 0.1162 271 0 271
Scattermatrix
Scatterplot

Scatterplot

Summary statistics

name label type type_options data_type value_labels optional showif value item_order block_order class n_missing complete_rate min median max mean sd n_value_labels hist
abs1_tru_int_1 rating_button 1,7,1 haven_labelled 1. 1: sincere,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: insincere,
NA. Item was never rendered for this user.		 0 26 answer_align_center left0 space_bottom_10 rating_button_label_width150 181 0.5995575 1 3 7 3.136531 1.442668 8 ▅▆▆▇▁▂▁▁
abs1_tru_int_2 rating_button 1,7,1 haven_labelled 1. 1: honest,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: dishonest,
NA. Item was never rendered for this user.		 0 26 answer_align_center left0 space_bottom_10 rating_button_label_width150 181 0.5995575 1 3 7 3.136531 1.390375 8 ▃▇▇▇▁▂▂▁
abs1_tru_int_3 rating_button 1,7,1 haven_labelled 1. 1: just,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: unjust,
NA. Item was never rendered for this user.		 0 26 answer_align_center left0 space_bottom_10 rating_button_label_width150 181 0.5995575 1 4 7 3.369004 1.329299 8 ▂▅▅▇▁▂▁▁
abs1_tru_int_4 rating_button 1,7,1 haven_labelled 1. 1: fair,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: unfair,
NA. Item was never rendered for this user.		 0 26 answer_align_center left0 space_bottom_10 rating_button_label_width150 181 0.5995575 1 3 7 3.232472 1.401526 8 ▃▅▆▇▁▂▁▁

Scale: abs1_tru_ben

Overview

Reliability: ωordinal [95% CI] = 0.9 [0.88;0.92].

Missing: 181.

Likert plot of scale abs1_tru_ben items

Likert plot of scale abs1_tru_ben items

Distribution of scale abs1_tru_ben

Distribution of scale abs1_tru_ben

Reliability details

Scale diagnosis
Reliability (internal consistency) estimates
Scale structure
Information about this scale
Dataframe: res$dat
Items: abs1_tru_ben_1, abs1_tru_ben_2, abs1_tru_ben_3 & abs1_tru_ben_4
Observations: 271
Positive correlations: 6
Number of correlations: 6
Percentage positive correlations: 100
Estimates assuming interval level
Omega (total): 0.88
Omega (hierarchical): 0.85
Revelle’s Omega (total): 0.91
Greatest Lower Bound (GLB): 0.91
Coefficient H: 0.89
Coefficient Alpha: 0.88

Confidence intervals

Omega (total): [0.86; 0.9]
Coefficient Alpha: [0.86; 0.9]
Estimates assuming ordinal level
Ordinal Omega (total): 0.9
Ordinal Omega (hierarch.): 0.9
Ordinal Coefficient Alpha: 0.9

Confidence intervals

Ordinal Omega (total): [0.88; 0.92]
Ordinal Coefficient Alpha: [0.88; 0.92]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

2.953, 0.454, 0.332 & 0.262

Factor analysis (reproducing only shared variance)
ML1
abs1_tru_ben_1 0.861
abs1_tru_ben_2 0.795
abs1_tru_ben_3 0.776
abs1_tru_ben_4 0.795
Component analysis (reproducing full covariance matrix)
PC1
abs1_tru_ben_1 0.886
abs1_tru_ben_2 0.846
abs1_tru_ben_3 0.844
abs1_tru_ben_4 0.859
Item descriptives
mean median var sd IQR se min q1 q3 max skew kurt dip n NA valid
abs1_tru_ben_1 3.2841 3 1.8634 1.3651 2 0.0829 1 2 4 7 0.2052 -0.1931 0.1052 271 0 271
abs1_tru_ben_2 3.1697 3 1.9711 1.404 2 0.0853 1 2 4 7 0.3501 -0.0905 0.1089 271 0 271
abs1_tru_ben_3 3.1402 3 1.9655 1.4019 2 0.0852 1 2 4 7 0.3819 -0.2779 0.1236 271 0 271
abs1_tru_ben_4 3.1845 3 1.7732 1.3316 2 0.0809 1 2 4 7 0.3592 -0.0202 0.1199 271 0 271
Scattermatrix
Scatterplot

Scatterplot

Summary statistics

name label type type_options data_type value_labels optional showif value item_order block_order class n_missing complete_rate min median max mean sd n_value_labels hist
abs1_tru_ben_1 rating_button 1,7,1 haven_labelled 1. 1: moral,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: immoral,
NA. Item was never rendered for this user.		 0 26 answer_align_center left0 space_bottom_10 rating_button_label_width150 181 0.5995575 1 3 7 3.284133 1.365069 8 ▂▅▅▇▁▂▁▁
abs1_tru_ben_2 rating_button 1,7,1 haven_labelled 1. 1: ethical,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: unethical,
NA. Item was never rendered for this user.		 0 26 answer_align_center left0 space_bottom_10 rating_button_label_width150 181 0.5995575 1 3 7 3.169742 1.403952 8 ▃▆▆▇▁▂▁▁
abs1_tru_ben_3 rating_button 1,7,1 haven_labelled 1. 1: responsible,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: irresponsible,
NA. Item was never rendered for this user.		 0 26 answer_align_center left0 space_bottom_10 rating_button_label_width150 181 0.5995575 1 3 7 3.140221 1.401945 8 ▃▇▆▇▁▂▁▁
abs1_tru_ben_4 rating_button 1,7,1 haven_labelled 1. 1: considerate,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: inconsiderate,
NA. Item was never rendered for this user.		 0 26 answer_align_center left0 space_bottom_10 rating_button_label_width150 181 0.5995575 1 3 7 3.184502 1.331631 8 ▃▅▇▆▁▂▁▁

Scale: abs1_tch

Overview

Reliability: ωtotal [95% CI] = 0.83 [0.8;0.86].

Missing: 181.

Likert plot of scale abs1_tch items

Likert plot of scale abs1_tch items

Distribution of scale abs1_tch

Distribution of scale abs1_tch

Reliability details

Scale diagnosis
Reliability (internal consistency) estimates
Scale structure
Information about this scale
Dataframe: res$dat
Items: abs1_tch_1, abs1_tch_2, abs1_tch_3, abs1_tch_4 & abs1_tch_5
Observations: 271
Positive correlations: 10
Number of correlations: 10
Percentage positive correlations: 100
Estimates assuming interval level
Omega (total): 0.83
Omega (hierarchical): 0.75
Revelle’s Omega (total): 0.87
Greatest Lower Bound (GLB): 0.87
Coefficient H: 0.83
Coefficient Alpha: 0.82

Confidence intervals

Omega (total): [0.8; 0.86]
Coefficient Alpha: [0; 0.19]

(Estimates assuming ordinal level not computed, as at least one item seems to have more than 8 levels; the highest number of distinct levels is 5 and the highest range is 1004. This last number needs to be lower than 9 for the polychoric function to work. If this is unexpected, you may want to check for outliers.)

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

2.937, 0.837, 0.478, 0.387 & 0.361

Factor analysis (reproducing only shared variance)
ML1
abs1_tch_1 0.643
abs1_tch_2 0.742
abs1_tch_3 0.726
abs1_tch_4 0.583
abs1_tch_5 0.771
Component analysis (reproducing full covariance matrix)
PC1
abs1_tch_1 0.759
abs1_tch_2 0.789
abs1_tch_3 0.775
abs1_tch_4 0.709
abs1_tch_5 0.798
Item descriptives
mean median var sd IQR se min q1 q3 max skew kurt dip n NA valid
abs1_tch_1 -163.6974 3 139444.0563 373.4221 2 22.6838 -999 1 4 4 -1.8048 1.2666 0.0867 271 0 271
abs1_tch_2 -196.8266 3 160723.255 400.903 2 24.3531 -999 1 4 4 -1.5141 0.2948 0.1218 271 0 271
abs1_tch_3 -281.9446 2 204833.8969 452.5858 1002 27.4926 -999 -999 3 4 -0.9626 -1.0814 0.1421 271 0 271
abs1_tch_4 -134.1328 3 118711.7601 344.5457 2 20.9297 -999 1 4 4 -2.1289 2.5512 0.0978 271 0 271
abs1_tch_5 -259.6974 2 194751.2859 441.3063 1002 26.8075 -999 -999 3 4 -1.0886 -0.8211 0.131 271 0 271
Scattermatrix
Scatterplot

Scatterplot

Summary statistics

name label type type_options data_type value_labels optional showif value item_order block_order class n_missing complete_rate min median max mean sd n_value_labels hist
abs1_tch_1 It is transparent which data form the basis of the study. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
-999. (don’t know),
NA. Item was never rendered for this user.		 0 29 left500 hide_label mc_width70 181 0.5995575 -999 3 4 -163.6974 373.4221 6 ▂▁▁▁▁▁▁▇
abs1_tch_2 Interested parties can have a close look at the questionnaire of the described study. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
-999. (don’t know),
NA. Item was never rendered for this user.		 0 29 left500 hide_label mc_width70 181 0.5995575 -999 3 4 -196.8266 400.9030 6 ▂▁▁▁▁▁▁▇
abs1_tch_3 The data collected in the study are publicly available. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
-999. (don’t know),
NA. Item was never rendered for this user.		 0 29 left500 hide_label mc_width70 181 0.5995575 -999 2 4 -281.9446 452.5858 6 ▃▁▁▁▁▁▁▇
abs1_tch_4 The authors make it easy for other researchers to understand their statistical analyses. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
-999. (don’t know),
NA. Item was never rendered for this user.		 0 29 left500 hide_label mc_width70 181 0.5995575 -999 3 4 -134.1328 344.5457 6 ▁▁▁▁▁▁▁▇
abs1_tch_5 If other researchers want to repeat the study, they have easy access to the questionnaires used. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
-999. (don’t know),
NA. Item was never rendered for this user.		 0 29 left500 hide_label mc_width70 181 0.5995575 -999 2 4 -259.6974 441.3063 6 ▃▁▁▁▁▁▁▇

Scale: abs2_tsm

Overview

Reliability: ωordinal [95% CI] = 0.66 [0.6;0.73].

Missing: 195.

Likert plot of scale abs2_tsm items

Likert plot of scale abs2_tsm items

Distribution of scale abs2_tsm

Distribution of scale abs2_tsm

Reliability details

Scale diagnosis
Reliability (internal consistency) estimates
Scale structure
Information about this scale
Dataframe: res$dat
Items: abs2_tsm_1, abs2_tsm_2, abs2_tsm_3 & abs2_tsm_4
Observations: 257
Positive correlations: 6
Number of correlations: 6
Percentage positive correlations: 100
Estimates assuming interval level
Omega (total): 0.60
Omega (hierarchical): 0.54
Revelle’s Omega (total): 0.68
Greatest Lower Bound (GLB): 0.67
Coefficient H: 0.69
Coefficient Alpha: 0.60

Confidence intervals

Omega (total): [0.53; 0.68]
Coefficient Alpha: [0.51; 0.68]
Estimates assuming ordinal level
Ordinal Omega (total): 0.66
Ordinal Omega (hierarch.): 0.64
Ordinal Coefficient Alpha: 0.65

Confidence intervals

Ordinal Omega (total): [0.6; 0.73]
Ordinal Coefficient Alpha: [0.58; 0.72]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

1.843, 0.981, 0.682 & 0.495

Factor analysis (reproducing only shared variance)
ML1
abs2_tsm_1 0.432
abs2_tsm_2 0.665
abs2_tsm_3 0.245
abs2_tsm_4 0.736
Component analysis (reproducing full covariance matrix)
PC1
abs2_tsm_1 0.675
abs2_tsm_2 0.749
abs2_tsm_3 0.476
abs2_tsm_4 0.775
Item descriptives
mean median var sd IQR se min q1 q3 max skew kurt dip n NA valid
abs2_tsm_1 2.4591 2 0.5774 0.7599 1 0.0474 1 1 3 4 -0.13 -0.3704 0.2004 257 0 257
abs2_tsm_2 2.6887 3 0.6293 0.7933 1 0.0495 1 2 4 4 0.0962 -0.6411 0.1946 257 0 257
abs2_tsm_3 2.4825 2 0.6882 0.8296 1 0.0517 1 1 3 4 0.0974 -0.5299 0.1809 257 0 257
abs2_tsm_4 2.7821 3 0.6086 0.7801 1 0.0487 1 2 4 4 -0.0456 -0.5927 0.1654 257 0 257
Scattermatrix
Scatterplot

Scatterplot

Summary statistics

name label type type_options data_type value_labels optional showif value item_order block_order class n_missing complete_rate min median max mean sd n_value_labels hist
abs2_tsm_1 The insights from the text are arbitrary. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
NA. Item was never rendered for this user.		 0 39 left500 hide_label mc_width70 195 0.5685841 1 2 4 2.459144 0.7598854 5 ▂▁▇▁▁▇▁▁
abs2_tsm_2 The knowledge contained in the text cannot be generalized to other situations at all. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
NA. Item was never rendered for this user.		 0 39 left500 hide_label mc_width70 195 0.5685841 1 3 4 2.688716 0.7932756 5 ▁▁▇▁▁▇▁▃
abs2_tsm_3 The opposite of the knowledge formulated in the text would be equally right/wrong. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
NA. Item was never rendered for this user.		 0 39 left500 hide_label mc_width70 195 0.5685841 1 2 4 2.482490 0.8295594 5 ▂▁▇▁▁▇▁▂
abs2_tsm_4 The knowledge formulated in the text cannot claim validity for other situations. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
NA. Item was never rendered for this user.		 0 39 left500 hide_label mc_width70 195 0.5685841 1 3 4 2.782101 0.7801183 5 ▁▁▆▁▁▇▁▃

Scale: abs2_tsc

Overview

Reliability: ωordinal [95% CI] = 0.71 [0.22;1].

Missing: 195.

Likert plot of scale abs2_tsc items

Likert plot of scale abs2_tsc items

Distribution of scale abs2_tsc

Distribution of scale abs2_tsc

Reliability details

Scale diagnosis
Reliability (internal consistency) estimates
Scale structure
Information about this scale
Dataframe: res$dat
Items: abs2_tsc_1, abs2_tsc_2 & abs2_tsc_3
Observations: 257
Positive correlations: 1
Number of correlations: 3
Percentage positive correlations: 33
Estimates assuming interval level
Omega (total): 0.64
Omega (hierarchical): 0.17
Revelle’s Omega (total): 0.64
Greatest Lower Bound (GLB): 0.55
Coefficient H: 1.00
Coefficient Alpha: 0.26

Confidence intervals

Omega (total): [0.07; 1]
Coefficient Alpha: [0.1; 0.42]
Estimates assuming ordinal level
Ordinal Omega (total): 0.71
Ordinal Omega (hierarch.): 0.71
Ordinal Coefficient Alpha: 0.26

Confidence intervals

Ordinal Omega (total): [0.22; 1]
Ordinal Coefficient Alpha: [0.1; 0.42]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

1.598, 0.962 & 0.44

Factor analysis (reproducing only shared variance)
ML1
abs2_tsc_1 0.997
abs2_tsc_2 -0.181
abs2_tsc_3 0.549
Component analysis (reproducing full covariance matrix)
PC1
abs2_tsc_1 0.876
abs2_tsc_2 -0.356
abs2_tsc_3 0.840
Item descriptives
mean median var sd IQR se min q1 q3 max skew kurt dip n NA valid
abs2_tsc_1 2.642 3 0.5823 0.7631 1 0.0476 1 2 4 4 -0.1429 -0.2984 0.1732 257 0 257
abs2_tsc_2 2.2607 2 0.5841 0.7643 1 0.0477 1 1 3 4 0.2601 -0.1982 0.1459 257 0 257
abs2_tsc_3 2.6887 3 0.6371 0.7982 1 0.0498 1 2 4 4 -0.2163 -0.356 0.1556 257 0 257
Scattermatrix
Scatterplot

Scatterplot

Summary statistics

name label type type_options data_type value_labels optional showif value item_order block_order class n_missing complete_rate min median max mean sd n_value_labels hist
abs2_tsc_1 The statements of the just-read text are consistent with my personal opinion on the subject. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
NA. Item was never rendered for this user.		 0 40 left500 hide_label mc_width70 195 0.5685841 1 3 4 2.642023 0.7630791 5 ▁▁▆▁▁▇▁▂
abs2_tsc_2 The statements of the text excerpt I just read contradict what I myself think about the topic. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
NA. Item was never rendered for this user.		 0 40 left500 hide_label mc_width70 195 0.5685841 1 2 4 2.260700 0.7642732 5 ▂▁▇▁▁▅▁▁
abs2_tsc_3 I agree with the statements I just read in the text excerpt. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
NA. Item was never rendered for this user.		 0 40 left500 hide_label mc_width70 195 0.5685841 1 3 4 2.688716 0.7981846 5 ▁▁▅▁▁▇▁▂

Scale: abs2_tru_exp

Overview

Reliability: ωordinal [95% CI] = 0.96 [0.95;0.97].

Missing: 195.

Likert plot of scale abs2_tru_exp items

Likert plot of scale abs2_tru_exp items

Distribution of scale abs2_tru_exp

Distribution of scale abs2_tru_exp

Reliability details

Scale diagnosis
Reliability (internal consistency) estimates
Scale structure
Information about this scale
Dataframe: res$dat
Items: abs2_tru_exp_1, abs2_tru_exp_2, abs2_tru_exp_3, abs2_tru_exp_4, abs2_tru_exp_5 & abs2_tru_exp_6
Observations: 257
Positive correlations: 15
Number of correlations: 15
Percentage positive correlations: 100
Estimates assuming interval level
Omega (total): 0.95
Omega (hierarchical): 0.92
Revelle’s Omega (total): 0.96
Greatest Lower Bound (GLB): 0.96
Coefficient H: 0.95
Coefficient Alpha: 0.95

Confidence intervals

Omega (total): [0.94; 0.96]
Coefficient Alpha: [0.94; 0.96]
Estimates assuming ordinal level
Ordinal Omega (total): 0.96
Ordinal Omega (hierarch.): 0.96
Ordinal Coefficient Alpha: 0.96

Confidence intervals

Ordinal Omega (total): [0.95; 0.97]
Ordinal Coefficient Alpha: [0.95; 0.97]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

4.814, 0.335, 0.278, 0.245, 0.186 & 0.141

Factor analysis (reproducing only shared variance)
ML1
abs2_tru_exp_1 0.851
abs2_tru_exp_2 0.878
abs2_tru_exp_3 0.889
abs2_tru_exp_4 0.903
abs2_tru_exp_5 0.878
abs2_tru_exp_6 0.841
Component analysis (reproducing full covariance matrix)
PC1
abs2_tru_exp_1 0.880
abs2_tru_exp_2 0.902
abs2_tru_exp_3 0.904
abs2_tru_exp_4 0.914
abs2_tru_exp_5 0.899
abs2_tru_exp_6 0.875
Item descriptives
mean median var sd IQR se min q1 q3 max skew kurt dip n NA valid
abs2_tru_exp_1 2.8949 3 1.7897 1.3378 2 0.0834 1 2 4 7 0.4106 -0.3593 0.1304 257 0 257
abs2_tru_exp_2 2.8366 3 1.9888 1.4103 2 0.088 1 2 4 7 0.4614 -0.4624 0.1187 257 0 257
abs2_tru_exp_3 2.7432 3 1.9494 1.3962 2 0.0871 1 2 4 7 0.5624 -0.1977 0.1128 257 0 257
abs2_tru_exp_4 2.7315 3 1.9237 1.387 2 0.0865 1 2 4 7 0.5351 -0.2842 0.1128 257 0 257
abs2_tru_exp_5 2.821 3 1.71 1.3077 2 0.0816 1 2 4 7 0.3988 -0.2843 0.1284 257 0 257
abs2_tru_exp_6 2.9183 3 2.1925 1.4807 2 0.0924 1 2 4 7 0.4544 -0.6173 0.1051 257 0 257
Scattermatrix
Scatterplot

Scatterplot

Summary statistics

name label type type_options data_type value_labels optional showif value item_order block_order class n_missing complete_rate min median max mean sd n_value_labels hist
abs2_tru_exp_1 rating_button 1,7,1 haven_labelled 1. 1: competent,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: incompetent,
NA. Item was never rendered for this user.		 0 46 answer_align_center left0 space_bottom_10 rating_button_label_width150 195 0.5685841 1 3 7 2.894942 1.337797 8 ▅▇▆▇▁▂▁▁
abs2_tru_exp_2 rating_button 1,7,1 haven_labelled 1. 1: intelligent,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: unintelligent,
NA. Item was never rendered for this user.		 0 46 answer_align_center left0 space_bottom_10 rating_button_label_width150 195 0.5685841 1 3 7 2.836576 1.410253 8 ▆▇▆▇▁▂▂▁
abs2_tru_exp_3 rating_button 1,7,1 haven_labelled 1. 1: well&nbsp;educated,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: poorly&nbsp;educated,
NA. Item was never rendered for this user.		 0 46 answer_align_center left0 space_bottom_10 rating_button_label_width150 195 0.5685841 1 3 7 2.743191 1.396215 8 ▇▇▇▆▁▂▁▁
abs2_tru_exp_4 rating_button 1,7,1 haven_labelled 1. 1: professional,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: unprofessional,
NA. Item was never rendered for this user.		 0 46 answer_align_center left0 space_bottom_10 rating_button_label_width150 195 0.5685841 1 3 7 2.731517 1.386986 8 ▇▇▆▆▁▂▁▁
abs2_tru_exp_5 rating_button 1,7,1 haven_labelled 1. 1: experienced,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: inexperienced,
NA. Item was never rendered for this user.		 0 46 answer_align_center left0 space_bottom_10 rating_button_label_width150 195 0.5685841 1 3 7 2.821012 1.307679 8 ▆▇▇▇▁▁▁▁
abs2_tru_exp_6 rating_button 1,7,1 haven_labelled 1. 1: qualified,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: unqualified,
NA. Item was never rendered for this user.		 0 46 answer_align_center left0 space_bottom_10 rating_button_label_width150 195 0.5685841 1 3 7 2.918288 1.480715 8 ▆▇▆▆▁▂▂▁

Scale: abs2_tru_int

Overview

Reliability: ωordinal [95% CI] = 0.92 [0.9;0.94].

Missing: 195.

Likert plot of scale abs2_tru_int items

Likert plot of scale abs2_tru_int items

Distribution of scale abs2_tru_int

Distribution of scale abs2_tru_int

Reliability details

Scale diagnosis
Reliability (internal consistency) estimates
Scale structure
Information about this scale
Dataframe: res$dat
Items: abs2_tru_int_1, abs2_tru_int_2, abs2_tru_int_3 & abs2_tru_int_4
Observations: 257
Positive correlations: 6
Number of correlations: 6
Percentage positive correlations: 100
Estimates assuming interval level
Omega (total): 0.90
Omega (hierarchical): 0.17
Revelle’s Omega (total): 0.25
Greatest Lower Bound (GLB): 0.91
Coefficient H: 0.90
Coefficient Alpha: 0.90

Confidence intervals

Omega (total): [0.88; 0.92]
Coefficient Alpha: [0.88; 0.92]
Estimates assuming ordinal level
Ordinal Omega (total): 0.92
Ordinal Omega (hierarch.): 0.92
Ordinal Coefficient Alpha: 0.92

Confidence intervals

Ordinal Omega (total): [0.9; 0.94]
Ordinal Coefficient Alpha: [0.9; 0.94]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

3.084, 0.372, 0.276 & 0.269

Factor analysis (reproducing only shared variance)
ML1
abs2_tru_int_1 0.851
abs2_tru_int_2 0.822
abs2_tru_int_3 0.817
abs2_tru_int_4 0.845
Component analysis (reproducing full covariance matrix)
PC1
abs2_tru_int_1 0.888
abs2_tru_int_2 0.871
abs2_tru_int_3 0.868
abs2_tru_int_4 0.885
Item descriptives
mean median var sd IQR se min q1 q3 max skew kurt dip n NA valid
abs2_tru_int_1 2.9883 3 1.9569 1.3989 2 0.0873 1 2 4 7 0.4092 -0.3059 0.1245 257 0 257
abs2_tru_int_2 2.8794 3 1.8877 1.3739 2 0.0857 1 2 4 7 0.2282 -0.7448 0.1167 257 0 257
abs2_tru_int_3 3.179 3 1.7725 1.3314 2 0.083 1 2 4 7 0.2183 -0.0663 0.1128 257 0 257
abs2_tru_int_4 3 3 1.6484 1.2839 2 0.0801 1 2 4 7 0.1786 -0.4366 0.1284 257 0 257
Scattermatrix
Scatterplot

Scatterplot

Summary statistics

name label type type_options data_type value_labels optional showif value item_order block_order class n_missing complete_rate min median max mean sd n_value_labels hist
abs2_tru_int_1 rating_button 1,7,1 haven_labelled 1. 1: sincere,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: insincere,
NA. Item was never rendered for this user.		 0 46 answer_align_center left0 space_bottom_10 rating_button_label_width150 195 0.5685841 1 3 7 2.988327 1.398890 8 ▅▇▇▇▁▂▁▁
abs2_tru_int_2 rating_button 1,7,1 haven_labelled 1. 1: honest,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: dishonest,
NA. Item was never rendered for this user.		 0 46 answer_align_center left0 space_bottom_10 rating_button_label_width150 195 0.5685841 1 3 7 2.879377 1.373949 8 ▆▆▅▇▁▂▁▁
abs2_tru_int_3 rating_button 1,7,1 haven_labelled 1. 1: just,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: unjust,
NA. Item was never rendered for this user.		 0 46 answer_align_center left0 space_bottom_10 rating_button_label_width150 195 0.5685841 1 3 7 3.178988 1.331362 8 ▃▅▅▇▁▂▁▁
abs2_tru_int_4 rating_button 1,7,1 haven_labelled 1. 1: fair,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: unfair,
NA. Item was never rendered for this user.		 0 46 answer_align_center left0 space_bottom_10 rating_button_label_width150 195 0.5685841 1 3 7 3.000000 1.283915 8 ▅▆▇▇▁▂▁▁

Scale: abs2_tru_ben

Overview

Reliability: ωtotal [95% CI] = 0.91 [not computed].

Missing: 195.

Likert plot of scale abs2_tru_ben items

Likert plot of scale abs2_tru_ben items

Distribution of scale abs2_tru_ben

Distribution of scale abs2_tru_ben

Reliability details

Scale diagnosis
Reliability (internal consistency) estimates
Scale structure
Information about this scale
Dataframe: res$dat
Items: abs2_tru_ben_1, abs2_tru_ben_2, abs2_tru_ben_3 & abs2_tru_ben_4
Observations: 257
Positive correlations: 6
Number of correlations: 6
Percentage positive correlations: 100
Estimates assuming interval level
Omega (total): 0.91
Omega (hierarchical): 0.01
Revelle’s Omega (total): 0.92
Greatest Lower Bound (GLB): 0.92
Coefficient H: 0.92
Coefficient Alpha: 0.91

(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

3.175, 0.335, 0.279 & 0.212

Factor analysis (reproducing only shared variance)
ML1
abs2_tru_ben_1 0.906
abs2_tru_ben_2 0.810
abs2_tru_ben_3 0.853
abs2_tru_ben_4 0.837
Component analysis (reproducing full covariance matrix)
PC1
abs2_tru_ben_1 0.919
abs2_tru_ben_2 0.868
abs2_tru_ben_3 0.893
abs2_tru_ben_4 0.883
Item descriptives
mean median var sd IQR se min q1 q3 max skew kurt dip n NA valid
abs2_tru_ben_1 3.1089 3 1.8318 1.3535 2 0.0844 1 2 4 7 0.2007 -0.2904 0.1089 257 0 257
abs2_tru_ben_2 3.0623 3 1.8633 1.365 2 0.0851 1 2 4 7 0.184 -0.4586 0.1148 257 0 257
abs2_tru_ben_3 3.07 3 2.0654 1.4371 2 0.0896 1 2 4 7 0.3141 -0.4669 0.1109 257 0 257
abs2_tru_ben_4 3.1128 3 1.7021 1.3046 2 0.0814 1 2 4 6 0.0871 -0.6178 0.1323 257 0 257
Scattermatrix
Scatterplot

Scatterplot

Summary statistics

name label type type_options data_type value_labels optional showif value item_order block_order class n_missing complete_rate min median max mean sd n_value_labels hist
abs2_tru_ben_1 rating_button 1,7,1 haven_labelled 1. 1: moral,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: immoral,
NA. Item was never rendered for this user.		 0 46 answer_align_center left0 space_bottom_10 rating_button_label_width150 195 0.5685841 1 3 7 3.108949 1.353452 8 ▃▅▅▇▁▂▁▁
abs2_tru_ben_2 rating_button 1,7,1 haven_labelled 1. 1: ethical,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: unethical,
NA. Item was never rendered for this user.		 0 46 answer_align_center left0 space_bottom_10 rating_button_label_width150 195 0.5685841 1 3 7 3.062257 1.365026 8 ▅▆▆▇▁▂▁▁
abs2_tru_ben_3 rating_button 1,7,1 haven_labelled 1. 1: responsible,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: irresponsible,
NA. Item was never rendered for this user.		 0 46 answer_align_center left0 space_bottom_10 rating_button_label_width150 195 0.5685841 1 3 7 3.070039 1.437146 8 ▅▆▅▇▁▂▂▁
abs2_tru_ben_4 rating_button 1,7,1 haven_labelled 1. 1: considerate,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6,
7. 7: inconsiderate,
NA. Item was never rendered for this user.		 0 46 answer_align_center left0 space_bottom_10 rating_button_label_width150 195 0.5685841 1 3 6 3.112840 1.304631 8 ▃▆▁▇▇▁▃▁

Scale: abs2_tch

Overview

Reliability: ωtotal [95% CI] = 0.94 [0.92;0.95].

Missing: 195.

Likert plot of scale abs2_tch items

Likert plot of scale abs2_tch items

Distribution of scale abs2_tch

Distribution of scale abs2_tch

Reliability details

Scale diagnosis
Reliability (internal consistency) estimates
Scale structure
Information about this scale
Dataframe: res$dat
Items: abs2_tch_1, abs2_tch_2, abs2_tch_3, abs2_tch_4 & abs2_tch_5
Observations: 257
Positive correlations: 10
Number of correlations: 10
Percentage positive correlations: 100
Estimates assuming interval level
Omega (total): 0.94
Omega (hierarchical): 0.88
Revelle’s Omega (total): 0.96
Greatest Lower Bound (GLB): 0.96
Coefficient H: 0.94
Coefficient Alpha: 0.94

Confidence intervals

Omega (total): [0.92; 0.95]
Coefficient Alpha: [0; 0.19]

(Estimates assuming ordinal level not computed, as at least one item seems to have more than 8 levels; the highest number of distinct levels is 5 and the highest range is 1004. This last number needs to be lower than 9 for the polychoric function to work. If this is unexpected, you may want to check for outliers.)

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

3.984, 0.366, 0.32, 0.213 & 0.117

Factor analysis (reproducing only shared variance)
ML1
abs2_tch_1 0.806
abs2_tch_2 0.900
abs2_tch_3 0.814
abs2_tch_4 0.865
abs2_tch_5 0.926
Component analysis (reproducing full covariance matrix)
PC1
abs2_tch_1 0.868
abs2_tch_2 0.911
abs2_tch_3 0.863
abs2_tch_4 0.897
abs2_tch_5 0.923
Item descriptives
mean median var sd IQR se min q1 q3 max skew kurt dip n NA valid
abs2_tch_1 -192.1245 3 157873.1329 397.3325 2 24.7849 -999 1 4 4 -1.5523 0.4128 0.1148 257 0 257
abs2_tch_2 -196.0389 2 160246.2329 400.3077 3 24.9705 -999 -999 4 4 -1.5211 0.3161 0.1109 257 0 257
abs2_tch_3 -246.7938 2 188361.4846 434.0063 2 27.0726 -999 -999 4 4 -1.1675 -0.6419 0.1245 257 0 257
abs2_tch_4 -184.3268 3 153023.2365 391.1818 2 24.4013 -999 1 4 4 -1.6169 0.619 0.1187 257 0 257
abs2_tch_5 -223.3307 2 176044.98 419.5771 2 26.1725 -999 -999 4 4 -1.3201 -0.2593 0.1206 257 0 257
Scattermatrix
Scatterplot

Scatterplot

Summary statistics

name label type type_options data_type value_labels optional showif value item_order block_order class n_missing complete_rate min median max mean sd n_value_labels hist
abs2_tch_1 It is transparent which data form the basis of the study. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
-999. (don’t know),
NA. Item was never rendered for this user.		 0 50 left500 hide_label mc_width70 195 0.5685841 -999 3 4 -192.1245 397.3325 6 ▂▁▁▁▁▁▁▇
abs2_tch_2 Interested parties can have a close look at the questionnaire of the described study. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
-999. (don’t know),
NA. Item was never rendered for this user.		 0 50 left500 hide_label mc_width70 195 0.5685841 -999 2 4 -196.0389 400.3077 6 ▂▁▁▁▁▁▁▇
abs2_tch_3 The data collected in the study are publicly available. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
-999. (don’t know),
NA. Item was never rendered for this user.		 0 50 left500 hide_label mc_width70 195 0.5685841 -999 2 4 -246.7938 434.0063 6 ▂▁▁▁▁▁▁▇
abs2_tch_4 The authors make it easy for other researchers to understand their statistical analyses. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
-999. (don’t know),
NA. Item was never rendered for this user.		 0 50 left500 hide_label mc_width70 195 0.5685841 -999 3 4 -184.3268 391.1818 6 ▂▁▁▁▁▁▁▇
abs2_tch_5 If other researchers want to repeat the study, they have easy access to the questionnaires used. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
-999. (don’t know),
NA. Item was never rendered for this user.		 0 50 left500 hide_label mc_width70 195 0.5685841 -999 2 4 -223.3307 419.5771 6 ▂▁▁▁▁▁▁▇

Scale: tsm

Overview

Reliability: ωordinal [95% CI] = 0.74 [0.69;0.8].

Missing: 195.

Likert plot of scale tsm items

Likert plot of scale tsm items

Distribution of scale tsm

Distribution of scale tsm

Reliability details

Scale diagnosis
Reliability (internal consistency) estimates
Scale structure
Information about this scale
Dataframe: res$dat
Items: tsm_1, tsm_2 & tsm_3
Observations: 257
Positive correlations: 3
Number of correlations: 3
Percentage positive correlations: 100
Estimates assuming interval level
Omega (total): 0.66
Omega (hierarchical): 0.05
Revelle’s Omega (total): 0.68
Greatest Lower Bound (GLB): 0.70
Coefficient H: 0.71
Coefficient Alpha: 0.65

Confidence intervals

Omega (total): [0.59; 0.73]
Coefficient Alpha: [0.58; 0.73]
Estimates assuming ordinal level
Ordinal Omega (total): 0.74
Ordinal Omega (hierarch.): 0.74
Ordinal Coefficient Alpha: 0.73

Confidence intervals

Ordinal Omega (total): [0.69; 0.8]
Ordinal Coefficient Alpha: [0.67; 0.79]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

1.788, 0.721 & 0.491

Factor analysis (reproducing only shared variance)
ML1
tsm_1 0.772
tsm_2 0.651
tsm_3 0.470
Component analysis (reproducing full covariance matrix)
PC1
tsm_1 0.825
tsm_2 0.795
tsm_3 0.689
Item descriptives
mean median var sd IQR se min q1 q3 max skew kurt dip n NA valid
tsm_1 3.2023 3 0.662 0.8136 1 0.0508 1 2 4 4 -0.7821 -0.0013 0.2023 257 0 257
tsm_2 3.2335 3 0.6875 0.8291 1 0.0517 1 2 4 4 -0.9154 0.2428 0.1946 257 0 257
tsm_3 2.7237 3 0.8413 0.9173 1 0.0572 1 2 4 4 -0.3115 -0.6889 0.1284 257 0 257
Scattermatrix
Scatterplot

Scatterplot

Summary statistics

name label type type_options data_type value_labels optional showif value item_order block_order class n_missing complete_rate min median max mean sd n_value_labels hist
tsm_1 The explanations (grey text boxes) were helpful for understanding the badges (“Open Materials”, “Open Data”, “Open Code”). mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
NA. Item was never rendered for this user.		 0 57 left500 hide_label mc_width70 195 0.5685841 1 3 4 3.202335 0.8136497 5 ▁▁▃▁▁▇▁▇
tsm_2 I read all additional explanations (grey text boxes) on the front pages. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
NA. Item was never rendered for this user.		 0 57 left500 hide_label mc_width70 195 0.5685841 1 3 4 3.233463 0.8291379 5 ▁▁▂▁▁▇▁▇
tsm_3 The badges (“Open Materials”, “Open Data”, “Open Code”) influenced my assessment of the authors. mc haven_labelled 1. fully <br />disagree,
2. &nbsp;,
3. &nbsp;&nbsp;,
4. fully <br />agree,
NA. Item was never rendered for this user.		 0 57 left500 hide_label mc_width70 195 0.5685841 1 3 4 2.723735 0.9172505 5 ▂▁▅▁▁▇▁▃

Missingness report

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "codebook_data",
  "datePublished": "2023-02-12",
  "description": "The dataset has N=452 rows and 79 columns.\n0 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.4.9000).",
  "keywords": ["session", "created", "modified", "ended", "expired", "treat", "treat1", "treat2", "first_topic", "abs1_tsm_1", "abs1_tsm_2", "abs1_tsm_3", "abs1_tsm_4", "abs1_tsc_1", "abs1_tsc_2", "abs1_tsc_3", "abs1_tru_exp_1", "abs1_tru_exp_2", "abs1_tru_exp_3", "abs1_tru_exp_4", "abs1_tru_exp_5", "abs1_tru_exp_6", "abs1_tru_int_1", "abs1_tru_int_2", "abs1_tru_int_3", "abs1_tru_int_4", "abs1_tru_ben_1", "abs1_tru_ben_2", "abs1_tru_ben_3", "abs1_tru_ben_4", "abs1_tch_1", "abs1_tch_2", "abs1_tch_3", "abs1_tch_4", "abs1_tch_5", "abs2_tsm_1", "abs2_tsm_2", "abs2_tsm_3", "abs2_tsm_4", "abs2_tsc_1", "abs2_tsc_2", "abs2_tsc_3", "abs2_tru_exp_1", "abs2_tru_exp_2", "abs2_tru_exp_3", "abs2_tru_exp_4", "abs2_tru_exp_5", "abs2_tru_exp_6", "abs2_tru_int_1", "abs2_tru_int_2", "abs2_tru_int_3", "abs2_tru_int_4", "abs2_tru_ben_1", "abs2_tru_ben_2", "abs2_tru_ben_3", "abs2_tru_ben_4", "abs2_tch_1", "abs2_tch_2", "abs2_tch_3", "abs2_tch_4", "abs2_tch_5", "tsm_1", "tsm_2", "tsm_3", "country", "country_oth", "abs1_tsm", "abs1_tsc", "abs1_tru_exp", "abs1_tru_int", "abs1_tru_ben", "abs1_tch", "abs2_tsm", "abs2_tsc", "abs2_tru_exp", "abs2_tru_int", "abs2_tru_ben", "abs2_tch", "tsm"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "session",
      "@type": "propertyValue"
    },
    {
      "name": "created",
      "description": "user first opened survey",
      "@type": "propertyValue"
    },
    {
      "name": "modified",
      "description": "user last edited survey",
      "@type": "propertyValue"
    },
    {
      "name": "ended",
      "description": "user finished survey",
      "@type": "propertyValue"
    },
    {
      "name": "expired",
      "@type": "propertyValue"
    },
    {
      "name": "treat",
      "description": "",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "treat1",
      "description": "",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "treat2",
      "description": "",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "first_topic",
      "description": "",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tsm_1",
      "description": "The insights from the text are arbitrary.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tsm_2",
      "description": "The knowledge contained in the text cannot be generalized to other situations at all.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tsm_3",
      "description": "The opposite of the knowledge formulated in the text would be equally right/wrong.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tsm_4",
      "description": "The knowledge formulated in the text cannot claim validity for other situations.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tsc_1",
      "description": "The statements of the just-read text are consistent with my personal opinion on the subject.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tsc_2",
      "description": "The statements of the text excerpt I just read contradict what I myself think about the topic.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tsc_3",
      "description": "I agree with the statements I just read in the text excerpt.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_exp_1",
      "description": "",
      "value": "1. 1: competent,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: incompetent,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_exp_2",
      "description": "",
      "value": "1. 1: intelligent,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: unintelligent,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_exp_3",
      "description": "",
      "value": "1. 1: well&nbsp;educated,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: poorly&nbsp;educated,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_exp_4",
      "description": "",
      "value": "1. 1: professional,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: unprofessional,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_exp_5",
      "description": "",
      "value": "1. 1: experienced,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: inexperienced,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_exp_6",
      "description": "",
      "value": "1. 1: qualified,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: unqualified,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_int_1",
      "description": "",
      "value": "1. 1: sincere,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: insincere,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_int_2",
      "description": "",
      "value": "1. 1: honest,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: dishonest,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_int_3",
      "description": "",
      "value": "1. 1: just,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: unjust,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_int_4",
      "description": "",
      "value": "1. 1: fair,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: unfair,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_ben_1",
      "description": "",
      "value": "1. 1: moral,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: immoral,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_ben_2",
      "description": "",
      "value": "1. 1: ethical,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: unethical,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_ben_3",
      "description": "",
      "value": "1. 1: responsible,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: irresponsible,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_ben_4",
      "description": "",
      "value": "1. 1: considerate,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: inconsiderate,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tch_1",
      "description": "It is transparent which data form the basis of the study.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\n-999. (don't know),\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": -999,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tch_2",
      "description": "Interested parties can have a close look at the questionnaire of the described study.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\n-999. (don't know),\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": -999,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tch_3",
      "description": "The data collected in the study are publicly available.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\n-999. (don't know),\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": -999,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tch_4",
      "description": "The authors make it easy for other researchers to understand their statistical analyses.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\n-999. (don't know),\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": -999,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tch_5",
      "description": "If other researchers want to repeat the study, they have easy access to the questionnaires used.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\n-999. (don't know),\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": -999,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tsm_1",
      "description": "The insights from the text are arbitrary.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tsm_2",
      "description": "The knowledge contained in the text cannot be generalized to other situations at all.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tsm_3",
      "description": "The opposite of the knowledge formulated in the text would be equally right/wrong.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tsm_4",
      "description": "The knowledge formulated in the text cannot claim validity for other situations.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tsc_1",
      "description": "The statements of the just-read text are consistent with my personal opinion on the subject.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tsc_2",
      "description": "The statements of the text excerpt I just read contradict what I myself think about the topic.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tsc_3",
      "description": "I agree with the statements I just read in the text excerpt.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_exp_1",
      "description": "",
      "value": "1. 1: competent,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: incompetent,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_exp_2",
      "description": "",
      "value": "1. 1: intelligent,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: unintelligent,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_exp_3",
      "description": "",
      "value": "1. 1: well&nbsp;educated,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: poorly&nbsp;educated,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_exp_4",
      "description": "",
      "value": "1. 1: professional,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: unprofessional,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_exp_5",
      "description": "",
      "value": "1. 1: experienced,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: inexperienced,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_exp_6",
      "description": "",
      "value": "1. 1: qualified,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: unqualified,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_int_1",
      "description": "",
      "value": "1. 1: sincere,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: insincere,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_int_2",
      "description": "",
      "value": "1. 1: honest,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: dishonest,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_int_3",
      "description": "",
      "value": "1. 1: just,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: unjust,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_int_4",
      "description": "",
      "value": "1. 1: fair,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: unfair,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_ben_1",
      "description": "",
      "value": "1. 1: moral,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: immoral,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_ben_2",
      "description": "",
      "value": "1. 1: ethical,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: unethical,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_ben_3",
      "description": "",
      "value": "1. 1: responsible,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: irresponsible,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_ben_4",
      "description": "",
      "value": "1. 1: considerate,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: inconsiderate,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tch_1",
      "description": "It is transparent which data form the basis of the study.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\n-999. (don't know),\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": -999,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tch_2",
      "description": "Interested parties can have a close look at the questionnaire of the described study.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\n-999. (don't know),\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": -999,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tch_3",
      "description": "The data collected in the study are publicly available.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\n-999. (don't know),\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": -999,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tch_4",
      "description": "The authors make it easy for other researchers to understand their statistical analyses.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\n-999. (don't know),\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": -999,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tch_5",
      "description": "If other researchers want to repeat the study, they have easy access to the questionnaires used.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\n-999. (don't know),\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": -999,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "tsm_1",
      "description": "The explanations (grey text boxes) were helpful for understanding the badges (\"Open Materials\", \"Open Data\", \"Open Code\").",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "tsm_2",
      "description": "I read all additional explanations (grey text boxes) on the front pages.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "tsm_3",
      "description": "The badges (\"Open Materials\", \"Open Data\", \"Open Code\") influenced my assessment of the authors.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "country",
      "description": "Country of residence",
      "value": "1. England,\n2. Wales,\n3. Scotland,\n4. Northern Ireland,\n-999. other,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": -999,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "country_oth",
      "description": "please specify other country",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tsm",
      "description": "4 abs1_tsm items aggregated by aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tsc",
      "description": "3 abs1_tsc items aggregated by aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_exp",
      "description": "6 abs1_tru_exp items aggregated by aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_int",
      "description": "4 abs1_tru_int items aggregated by aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_ben",
      "description": "4 abs1_tru_ben items aggregated by aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tch",
      "description": "5 abs1_tch items aggregated by aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tsm",
      "description": "4 abs2_tsm items aggregated by aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tsc",
      "description": "3 abs2_tsc items aggregated by aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_exp",
      "description": "6 abs2_tru_exp items aggregated by aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_int",
      "description": "4 abs2_tru_int items aggregated by aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_ben",
      "description": "4 abs2_tru_ben items aggregated by aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tch",
      "description": "5 abs2_tch items aggregated by aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "tsm",
      "description": "3 tsm items aggregated by aggregation_function",
      "@type": "propertyValue"
    }
  ]
}`